Fanny Jourdan - RankMe

16 papers Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	ConSim: Measuring Concept-Based Explanations' Effectiveness with Automated Simulatability. ACL (1) Antonin Poché, Alon Jacovi, Agustin Martin Picard, Victor Boutin, Fanny Jourdan
2025	J	`jnl`	ConSim: Measuring Concept-Based Explanations' Effectiveness with Automated Simulatability. CoRR Antonin Poché, Alon Jacovi, Agustin Martin Picard, Victor Boutin, Fanny Jourdan
2025	J	`jnl`	EuroBERT: Scaling Multilingual Encoders for European Languages. CoRR Nicolas Boizard, Hippolyte Gisserot-Boukhlef, Duarte M. Alves, André F. T. Martins, Ayoub Hammal, Caio Corro, Céline Hudelot, Emmanuel Malherbe, Etienne Malaboeuf, Fanny Jourdan, Gabriel Hautreux, João Alves, Kevin El Haddad, Manuel Faysse, Maxime Peyrard, Nuno Miguel Guerreiro, Patrick Fernandes, Ricardo Rei, Pierre Colombo
2025	J	`jnl`	FairTranslate: An English-French Dataset for Gender Bias Evaluation in Machine Translation by Overcoming Gender Binarity. CoRR Fanny Jourdan, Yannick Chevalier, Cécile Favre
2025	—	`conf`	FairTranslate: an English-French Dataset for Gender Bias Evaluation in Machine Translation by Overcoming Gender Binarity. FAccT Fanny Jourdan, Yannick Chevalier, Cécile Favre
2025	J	`jnl`	Interpreto: An Explainability Library for Transformers. CoRR Antonin Poché, Thomas Mullor, Gabriele Sarti, Frédéric Boisnard, Corentin Friedrich, Charlotte Claye, François Hoofd, Raphael Bernas, Céline Hudelot, Fanny Jourdan
2024	J	`jnl`	Advancing Fairness in Natural Language Processing: From Traditional Methods to Explainability. CoRR Fanny Jourdan
2024	—	`—`	Advancing fairness in natural language processing : from traditional methods to explainability. (L'équité dans le traitement automatique des langues : des méthodes traditionnelles vers l'explicabilité). Fanny Jourdan
2023	J	`jnl`	Are fairness metric scores enough to assess discrimination biases in machine learning? CoRR Fanny Jourdan, Laurent Risser, Jean-Michel Loubes, Nicholas Asher
2023	—	`conf`	Breaking Bias: How Optimal Transport Can Help to Tackle Gender Biases in NLP Based Job Recommendation Systems? EWAF Fanny Jourdan, Titon Tshiongo Kaninku, Nicholas Asher, Jean-Michel Loubes, Laurent Risser
2023	J	`jnl`	COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks. CoRR Fanny Jourdan, Agustin Martin Picard, Thomas Fel, Laurent Risser, Jean-Michel Loubes, Nicholas Asher
2023	—	`conf`	COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP. ACL (Findings) Fanny Jourdan, Agustin Martin Picard, Thomas Fel, Laurent Risser, Jean-Michel Loubes, Nicholas Asher
2023	J	`jnl`	How Optimal Transport Can Tackle Gender Biases in Multi-Class Neural Network Classifiers for Job Recommendations. Algorithms Fanny Jourdan, Titon Tshiongo Kaninku, Nicholas Asher, Jean-Michel Loubes, Laurent Risser
2023	J	`jnl`	How optimal transport can tackle gender biases in multi-class neural-network classifiers for job recommendations? CoRR Fanny Jourdan, Titon Tshiongo Kaninku, Nicholas Asher, Jean-Michel Loubes, Laurent Risser
2023	—	`conf`	Is a Fairness Metric Score Enough to Assess Discrimination Biases in Machine Learning? EWAF Fanny Jourdan, Ronan Pons, Nicholas Asher, Jean-Michel Loubes, Laurent Risser
2023	J	`jnl`	TaCo: Targeted Concept Removal in Output Embeddings for NLP via Information Theory and Explainability. CoRR Fanny Jourdan, Louis Béthune, Agustin M. Picard, Laurent Risser, Nicholas Asher